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--- |
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metrics: |
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- f1 |
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language: |
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- en |
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datasets: |
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- argilla/twitter-coronavirus |
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tags: |
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- generated_from_trainer |
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--- |
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The following hyperparameters were used during training: |
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- learning_rate: 5e-5 |
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- train_batch_size: 16 |
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- eval_batch_size: 16 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- num_epochs: 3 |
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- mixed_precision_training: Native AMP |
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- warmup_ratio: 0.1 |
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- weight_decay=1e-2 |
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### Training results |
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| Training Loss | Epoch | Validation Loss | F1 | F1 Macro | |
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|:---------------:|:-----:|:-----------------:|:--------:|:--------:| |
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| 0.902700 | 1.0 | 0.704850 | 0.740065 | 0.749341 | |
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| 0.531000 | 2.0 | 0.689495 | 0.777677 | 0.786924 | |
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| 0.375200 | 3.0 | 0.585254 | 0.809506 | 0.816099 | |
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